Bibliographic record
Abstract
This paper represents an attempt to derive useful information from data collected in the process of banding and recapturing migrant birds. The Swainson's Thrush (Hylocichla ustulata) was selected for this study because it is a long distance, nocturnal migrant and because it is the most common bird in our area in autumn. The paper is a series of analyses of weight and fat variations, occurrence, and fluctuations of both recaptures and previously unhandled birds. A number of hypotheses concerning various aspects of migration are presented and compared with the data. Some of the hypotheses are not entirely consistent with others; several interpretations are possible for some aspects of the data. The data for this study are derived from 5,580 handlings of 4,328 Swainson's Thrushes taken in a standardized mist-netting scheme at the Cedar Grove Ornithological Station in the autumns of 1959 through 1962. The Swainson's Thrush breeds from California, Colorado, the northern Great Lakes, and West Virginia north to central Alaska and central Canada. The winter range extends from southern Mexico to Peru and northwestern Argentina (abridged from the A. 0. U. Checklist, 1957). The breeding range of the Swainson's Thrush in Wisconsin is apparently confined to the northern tier of counties (Gromme, 1963). We have received four recoveries on Swainson's Thrushes banded in autumn at Cedar Grove: (1) at Montgomery, Alabama, in early May one and one-half years after banding, (2) at Winnipeg, Manitoba, in early May of the year following banding, (3) at Vernon, British Columbia, in early August 23 months after banding, and (4) near Caparrapi, Columbia, South America, in January four months after banding. The Cedar Grove Ornithological Station is located on the west shore of Lake Michigan some 64 km north of Milwaukee, Wisconsin. A 400 m wide strip of beaches abandoned by ancient recessions of the lake separates the intensively farmed red-clay-glacial till from the lake at this point (Figure 1). The thin soils covering the abanddoned beaches support a fairly dense stand of second growth forest (Populus, Betula papyrifera, Prunus serotina, Fraxinus) in some areas. Much of the area, however, is covered only by a brushy growth (Cornus stolonifera, Salix, Rubus, Alnus rugosa) or with grasses and Juncus balticus, and occasional blowouts of sand occur. Agricultural use of this land is usually limited to pasturing. The
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".